Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers

Marc Al-Hamas, Thomas Hain, Jan Cernocky, Sascha Schreiber, Mannes Poel, R.J. Rienks

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)

    Abstract

    The project Augmented Multi-party Interaction (AMI) is concerned with the development of meeting browsers and remote meeting assistants for instrumented meeting rooms – and the required component technologies R&D themes: group dynamics, audio, visual, and multimodal processing, content abstraction, and human-computer interaction. The audio-visual processing workpackage within AMI addresses the automatic recognition from audio, video, and combined audio-video streams, that have been recorded during meetings. In this article we describe the progress that has been made in the first two years of the project. We show how the large problem of audio-visual processing in meetings can be split into seven questions, like “Who is acting during the meeting?��?. We then show which algorithms and methods have been developed and evaluated for the automatic answering of these questions.
    Original languageUndefined
    Title of host publicationProceedings of the 3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms (MLMI 2006)
    Place of PublicationLondon
    PublisherSpringer
    Pages24-35
    Number of pages12
    ISBN (Print)978-3-540-69267-6
    DOIs
    Publication statusPublished - 2007
    Event3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, MLMI 2006 - Bethesda, MD, USA
    Duration: 1 May 20064 May 2006

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume4299
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Workshop

    Workshop3rd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms, MLMI 2006
    Period1/05/064/05/06
    Other1-4 May 2006

    Keywords

    • IR-63415
    • EC Grant Agreement nr.: FP6/506811
    • METIS-242051
    • EWI-6857

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